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RECORD NUMBER: 16 OF 25

Main Title Open Source GIS A GRASS GIS Approach / [electronic resource] :
Type EBOOK
Author Neteler, Markus.
Other Authors
Author Title of a Work
Mitasova, Helena.
Publisher Springer US,
Year Published 2008
Call Number GA1-1776
ISBN 9780387685748
Subjects Geography ; Remote sensing ; Information systems ; Computer vision ; Geographical information systems
Internet Access
Description Access URL
http://dx.doi.org/10.1007/978-0-387-68574-8
Edition Third Edition.
Collation XX, 406 p. online resource.
Notes
Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Contents Notes
Open Source software and GIS -- GIS concepts -- Getting started with GRASS -- GRASS data models and data exchange -- Working with raster data -- Working with vector data -- Graphical output and visualization -- Image processing -- Notes on GRASS programming -- Using GRASS with other Open Source tools. With this third edition of Open Source GIS: A GRASS GIS Approach, we enter the new era of GRASS6, the first release that includes substantial new code developed by the International GRASS Development Team. The dramatic growth in open source software libraries has made GRASS6 development more efficient, and has enhanced GRASS interoperability with a wide range of open source and proprietary geospatial tools. Thoroughly updated with material related to GRASS6, the third edition includes new sections on attribute database management and SQL support, vector networks analysis, lidar data processing and new graphical user interfaces. All chapters are updated with numerous practical examples using the first release of a comprehensive, state-of-the-art geospatial data set. Open Source GIS: A GRASS GIS Approach, Third Edition preserves the continuity of previous editions by maintaining the book's proven structure. This volume is structured for a professional audience composed of researchers and practitioners in government and industry, as well as graduate students interested in geospatial analysis and modeling.